The transepithelial transport of peptides derived from insects (Galleria mellonella and Alphitobius diaperinus) through static in vitro digestion (INFOGEST) and their ability to mitigating oxidative stress
Bibliographic record
Abstract
Insect protein-derived peptides are gaining attention for their potential bioactivities. This study aimed to evaluate the antioxidant ability of peptides derived from gastrointestinal digestion and assess their absorption through transepithelial transport. Results indicate an increase of antioxidant properties from G. mellonella (W) and A. diaperinus (B) proteins, including reducing power (Fe 2+ , Cu 2+ ) and radical scavenging (ABTS, DPPH) with enhanced antioxidant activities in gastrointestinal digestates compared to gastric digestates. The inhibition of intracellular Reactive Oxygen Species (ROS) confirmed these findings, the inhibition rates of 40.2 % (W) and 58.5 % (B), respectively. Transepithelial transport analysis demonstrated that peptide absorption primarily occurred between 6 h and 24 h, with W exhibiting a higher apparent permeability coefficient (6.10 × 10 −6 cm/s) compared to B (5.91 × 10 −7 cm/s). The results highlight the antioxidant potential and absorption capability of insect-derived peptides, with W demonstrating superior antioxidant activity in most assays, whereas B proved more effective in inhibiting intracellular ROS. These findings support the potential of both W and B as bioactive ingredients with functional applications. • Buffalo worm intestinal digestates showed the highest ROS inhibition (58.5 %). • The apparent permeability coefficient of Waxworm intestinal digestate was 6.10 × 10 −6 cm/s. • The number of Waxworm permeable peptides (24 h transportation) was 5888. • Cellular and intracellular ROS inhibition showed positive correlation. • Waxworm intestinal digestates exerted high specificity to iron chelation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".